履带式玉米收获机车架的多目标轻量化设计
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国家玉米产业体系专项(CARS–02)


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    摘要:

    针对4YZLP–2型履带式玉米联合收获机质量大、在丘陵山地田间通过难的问题,对玉米收获机车架进行轻量化设计:采用Solid works对车架进行参数化建模,基于车架参数化模型建立车架有限元模型,通过有限元模型进行模态分析,并利用车架模态试验验证车架有限元模型的有效性。对车架进行力学性能分析,得到了车架的应力与变形结果。基于相对灵敏度分析,筛选出车架的17个零部件的厚度作为设计变量,采用拉丁超立方试验设计以及克里格法建立代理模型,通过MOGA算法,以田间越障工况、满载弯曲工况下最大等效应力和满载弯曲工况下最大总变形量作为约束条件,车架质量和田间越障工况下总变形量最小为优化目标,进行多目标轻量化设计。车架轻量化后,车架质量较优化前减轻31.56 kg,越障工况下最大变形量也降低了0.33 mm。

    Abstract:

    Aiming at the problems of large mass and difficulty in passing in hilly and mountainous fields of the current 4YZLP-2C crawler corn combine harvester, the lightweight design of the frame was carried out. Solid works were used to conduct the parametric model of the frame, and the finite element model was was established based on the parametric model of the frame. Modal analysis was carried out through the finite element model, and the validity of the finite element model was verified by the modal test of the frame. The mechanical properties of the frame were analyzed to obtain the results of stress and deformation. Based on the relative sensitivity analysis, the thickness of 17 parts of the frame was selected as the design variable, to establish the surrogate model by Latin hypercube experimental design and Krieger method. By taking the maximum equivalent force under the field obstacle crossing condition, the maximum total deformation under the full load bending condition and the maximum total deformation under the bending condition as the constraints, and the frame quality and the minimum total deformation under the field obstacle crossing condition as the optimization goals. the multi-objective lightweight design is carried out through the MOGA algorithm. After the lightweight of the frame, the weight of the frame is reduced by 31.56 kg compared with that before optimization, and the maximum deformation under obstacle crossing conditions is also reduced by 0.33 mm.

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袁森林,张黎骅,邱清宇,罗惠中.履带式玉米收获机车架的多目标轻量化设计[J].湖南农业大学学报:自然科学版,2023,49(3):.

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  • 在线发布日期: 2023-06-30
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